StephenGoldie / indpensim-notebookLinks
☆25Updated 3 years ago
Alternatives and similar repositories for indpensim-notebook
Users that are interested in indpensim-notebook are comparing it to the libraries listed below
Sorting:
- pyTEP is an open-source simulation API for the Tennessee Eastman process in Python. It facilitates the setup of complex simulation scenar…☆33Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆19Updated 4 years ago
- Routines for exploratory data analysis.☆29Updated 2 years ago
- Datasets from a fluid catalytic cracking unit to evaluate FDD techniques☆24Updated 2 years ago
- ☆97Updated 3 weeks ago
- Hybrid Modeling Framework☆26Updated 2 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆45Updated 6 years ago
- Multi-fidelity Gaussian Process Regression☆13Updated 2 years ago
- Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).☆60Updated 5 months ago
- A study of reinforcement learning algorithms for fed-batch bioprocessesing☆14Updated 5 years ago
- PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.☆62Updated 4 years ago
- Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.☆35Updated last year
- Graph convolutions in Keras with TensorFlow, PyTorch or Jax.☆118Updated last year
- Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://pubs.rsc.org/en/cont…☆89Updated 2 years ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆51Updated 3 years ago
- A curated list of public dataset related to Industry 4.0.☆15Updated 3 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆51Updated 3 years ago
- Optimizing Chemical Reactions with Deep Reinforcement Learning☆120Updated 4 years ago
- Experimental Design via Bayesian Optimization☆165Updated 3 years ago
- Regression Transformer (2023; Nature Machine Intelligence)☆159Updated 3 months ago
- Heteroscedastic Bayesian Optimisation in Numpy☆22Updated 2 years ago
- ☆59Updated 4 years ago
- Tennessee Eastman Challenge Problem Archive☆31Updated 8 years ago
- Neural Graph Differential Equations (Neural GDEs)☆210Updated 4 years ago
- github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"☆107Updated 3 years ago
- Pre-processing technics for imbalanced datasets in regression modelling☆11Updated 3 years ago
- Optimising chemical reactions using machine learning☆138Updated last year
- ☆16Updated 6 years ago
- This repository contains much of the data, code, and visualizations associated with this manuscript:☆107Updated 5 years ago